A novel approach to surface defect detection
- Submitting institution
-
The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182621795
- Type
- D - Journal article
- DOI
-
10.1016/j.ijengsci.2018.09.005
- Title of journal
- International Journal of Engineering Science
- Article number
- -
- First page
- 181
- Volume
- 133
- Issue
- -
- ISSN
- 0020-7225
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We develop a novel method called Quantitative Detection of Fourier Transform to effectively and efficiently detect surface defects of structures. The approach contributes to the characterisation of surface defects and greatly broadens the scope of non-destructive defect inspection using ultrasonic guided waves. IJEC is the highest ranked engineering journal by impact according to the Web of Science (1/91, February 2021). The work has led to five follow-up journal publications with international collaborators (e.g. in IEEE Access), and a patent application (submitted August, 2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -